Why Pandas?
0:00
Installing Pandas
1:46
Getting the data used in this video
2:03
Loading the data into Pandas (CSVs, Excel, TXTs, etc.)
3:50
Reading Data (Getting Rows, Columns, Cells, Headers, etc.)
8:49
Iterate through each Row
13:10
Getting rows based on a specific condition
14:11
High Level description of your data (min, max, mean, std dev, etc.)
15:47
Sorting Values (Alphabetically, Numerically)
16:24
Making Changes to the DataFrame
18:19
Adding a column
18:56
Deleting a column
21:22
Summing Multiple Columns to Create new Column.
22:14
Rearranging columns
24:14
Saving our Data (CSV, Excel, TXT, etc.)
28:06
Filtering Data (based on multiple conditions)
31:47
Reset Index
35:40
Regex Filtering (filter based on textual patterns)
37:41
Conditional Changes
43:08
Aggregate Statistics using Groupby (Sum, Mean, Counting)
47:57
Working with large amounts of data (setting chunksize)
54:53
NaN / undefined
Complete Python Pandas Data Science Tutorial! (Reading CSV/Excel files, Sorting, Filtering, Groupby)
Show less
Show more


.jpg)
.jpg)
.jpg)